#29 Back Propagation Algorithm With Example Part-2 |ML|

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  • Опубліковано 1 лют 2025

КОМЕНТАРІ • 81

  • @bolarinwaoreoluwa5268
    @bolarinwaoreoluwa5268 2 роки тому +7

    This channel is amazing
    I finally understood backpropagation and Even why vanishing gradients is a thing!!!!!

  • @karribrahmateja2334
    @karribrahmateja2334 2 роки тому +8

    ma'am i was in the journey to complete b.tech in 4 days and i found this video
    content was nice tho keep it up

  • @kanishqsodhani5309
    @kanishqsodhani5309 9 місяців тому +1

    After continued practice of 1 year finally, now I have completed this question.
    Thank you Mam 😃🤝🏻

  • @PRASHANTSINGH-qe5xr
    @PRASHANTSINGH-qe5xr 3 роки тому +6

    You can start from 2:00

  • @hemamadhuri5108
    @hemamadhuri5108 2 роки тому +4

    Why you fix the learning rate is :-0.6 mam
    Is that our choice to fix nay value ... mam

  • @sushiltry
    @sushiltry 3 роки тому +3

    You are calculating partial derivative ( delta E total by delta w5) . You are also using sigmoid function here to get these formula. Thanks for sharing

  • @zugak1276
    @zugak1276 2 роки тому

    It's more usefull for us thanks to making videos madam 💚💚💚

  • @nallabhavani2923
    @nallabhavani2923 Рік тому +17

    Instead of explaining a problem can you explain the backproagation derivation

  • @chetananand8984
    @chetananand8984 2 роки тому +2

    M'aam you are very good, but very fast. Pls slow down a bit.

  • @krishnavamshiyadav3483
    @krishnavamshiyadav3483 Місяць тому +1

    O out is 0.01 and confusion between actual and target output

  • @dinushachathuranga7657
    @dinushachathuranga7657 3 місяці тому

    Thanks a lot for the clear explanation

  • @HarshPrajapati_1
    @HarshPrajapati_1 Рік тому

    Nothing needs to be remembered if you learn it well

  • @subashchandrabose.s9719
    @subashchandrabose.s9719 10 місяців тому

    Whether we can take any value for learning rate? If it's so there is any constraint?

  • @azharuddin-ht5zr
    @azharuddin-ht5zr Рік тому +4

    Its not about remembering formulas. Its about remembering and absorbing the CONCEPTS

    • @ThunderBladeZen
      @ThunderBladeZen Рік тому +3

      🤣🤣🤣🤣

    • @__anonymous__.123
      @__anonymous__.123 Рік тому +2

      Ohhh really! In that case, you should not be watching this video. Go and take a 5-week course on Coursera, watch it, and write the exam.

  • @supraja4361
    @supraja4361 2 роки тому +10

    Mam, can you please explain previous year question papers from 2019 of machine learning

  • @etidarshani8316
    @etidarshani8316 2 роки тому +1

    Mam please let us know the concept behind the formulas at 5:00

  • @santhoshmamidisetti
    @santhoshmamidisetti 9 місяців тому

    video starts after 2:00

  • @mobeeniqbal7876
    @mobeeniqbal7876 2 роки тому

    thank you miss you lecture is so good

  • @Thammudu_____
    @Thammudu_____ 2 роки тому

    Ok done🙂

  • @Sciddhanto_Sinha
    @Sciddhanto_Sinha 5 місяців тому

    For w6 which output node do we need to consider o1 or o2

  • @mounika5818
    @mounika5818 2 роки тому +5

    mam for calculating w6 should we use dEtotal/dW6= dEtotal/dOut2

  • @akhiltallapalli1286
    @akhiltallapalli1286 2 роки тому

    Ma’am can you explain Deep learning also…I have exam in coming month im from anurag group of institutions.

  • @muhammadhashir7516
    @muhammadhashir7516 2 роки тому

    I think there is a mistake in this calculation. The partial derivate of total error w.r.t the output of O1 is "2(Out-Target)", you forgot to multiply "out-target" with 2.

    • @jetnetgaming3594
      @jetnetgaming3594 2 роки тому

      Error term has coefficient 1/2 which cancels the 2

  • @anhphuongnguyen6817
    @anhphuongnguyen6817 10 місяців тому

    Would you mind explaining what is net O1 at 5:00 ish? Thanks!

  • @suchithbayya1719
    @suchithbayya1719 2 роки тому

    Mam for w6 same dtotal/dout = outO1-targetO1 should do or what should do mam only w6 value should change na mam.

  • @dksingh9771
    @dksingh9771 3 роки тому

    Thank you mam. Your voice is so sweet 💞💞💞💞

    • @ksuhas2743
      @ksuhas2743 3 роки тому +1

      Focus on exam man not on her voice. from which jungle do all these animals come i don’t know 🙄

  • @clarkpaul3489
    @clarkpaul3489 2 роки тому

    Can u prepare playlist for artificial intelligence

  • @divyaindukuri22
    @divyaindukuri22 5 місяців тому

    mam plz upload ml unit 5, we have our sem next week

  • @lokvardhan1079
    @lokvardhan1079 Рік тому

    man aap ki aavaj bahut pyaari hai

  • @supriyasingh4144
    @supriyasingh4144 3 роки тому

    Mam pls upload the video as early as possible we don't have more time to prepare for exam

  • @ksrinivasulureddy8066
    @ksrinivasulureddy8066 3 роки тому

    Machine learning exam in 21st Feb
    CLG is aits-tirupati

  • @rahulsrinivasvustepally9224

    Hello,can you explain Tangentprop Algorithm we have exam on nov 2nd 2023

  • @Vikas_Kumar_Singh
    @Vikas_Kumar_Singh 2 роки тому

    Is there any reason for not using net02 or out02 maybe I can't understand it

  • @pinnintisuvarna7896
    @pinnintisuvarna7896 Рік тому

    Mam will u tell how the n value u take 0.6

    • @dnagardhankar
      @dnagardhankar Рік тому

      value of n will be given in question in yoyur exams

  • @arnabdutta4662
    @arnabdutta4662 2 роки тому +4

    Machine learning ----->> Rote Learning🥲🥲

  • @harshakadiyala3309
    @harshakadiyala3309 2 роки тому +1

    hello mam can I get the machine learning notes(pdf) chapter wise and mam can u tell which chapters are better to prepare in sem exam for jntuh r18 regulation. Thank you teaching It is very useful to me

  • @supraja4361
    @supraja4361 2 роки тому

    My exams are in the month of July affiliated to jntuh

  • @ammukutty5859
    @ammukutty5859 Рік тому

    Why we take a n as a 0.6 mam can you explain again

  • @byagaribalaraju8569
    @byagaribalaraju8569 2 роки тому

    Mam please send me your notes mam this notes is usefull to my exam purpose

  • @rajamoulimallareddy2373
    @rajamoulimallareddy2373 3 роки тому

    20-12-2021 Time : 2pm - 5pm, Amity university, Noida

  • @jesus_life
    @jesus_life 2 роки тому

    It's not d it is called as dooo

  • @venkatanarendranarla1060
    @venkatanarendranarla1060 3 роки тому

    Can u explain SVM algorithm support vector machine

  • @shoieb_1956
    @shoieb_1956 Рік тому

    W6 out o1 or o2

  • @gowthamreddy152
    @gowthamreddy152 3 роки тому

    Can i know what dnet is in the video

  • @pikachu-rd8jy
    @pikachu-rd8jy 3 роки тому

    Mam I need your help ,I missed the I'd verification meeting what should I do know.

  • @ramchander6719
    @ramchander6719 2 роки тому

    Anybody tell how to get w7 and w8 values with formulas please

  • @michaeljackson5232
    @michaeljackson5232 3 роки тому +8

    Why do you literally waste first 2mins of every video. 🥲

    • @ErSiddhartha1990
      @ErSiddhartha1990 3 роки тому +12

      In that 2 min, what you would have achieved? First learn to appreciate her efforts!

  • @xogamer4670
    @xogamer4670 2 роки тому

    Pls stop with your pre lecture before every video, other than that your videos are great

  • @uddiptakalita3006
    @uddiptakalita3006 Рік тому

    got an exam tomorrow haha

  • @tushar7305
    @tushar7305 Рік тому

    YMCA

  • @thallapellisaidulu318
    @thallapellisaidulu318 6 місяців тому

    can u tell me w6 answer

  • @somiyaakthersam3112
    @somiyaakthersam3112 Рік тому +5

    Mam u talk so much .

  • @superthor6767
    @superthor6767 2 роки тому

    Dell no d...🙄🙄🙄 Your nails 😜😜😜😜😜😜😜

  • @syamrajugollamandala139
    @syamrajugollamandala139 11 місяців тому

    Rvr jc

  • @cinema-g5d
    @cinema-g5d 8 місяців тому +1

    worst explanation

  • @techarticlesorg
    @techarticlesorg Рік тому

    25-03-2023 Time : 10 am - 5pm, parul university, vadodara.🥲🥲🥲